一个非线性电动液压系统的非线性电动系统的基于观察者的自适应性神经反输出反故障控制,具有完全状态约束
Van Du Phan1, Hoai Vu Anh Truong2, Van Chuong Le1
1School of Engineering and Technology, Vinh University, Vinh, 43108, Vietnam.
Scientific reports
|January 24, 2025
概括
本研究引入了针对非线性电液系统的自适应性神经干扰观察器控制器,确保状态约束并提高跟踪性能,尽管没有建模的动态和故障.
科学领域:
- 控制系统工程 控制系统工程
- 机器人技术 机器人技术 机器人技术
- 液压系统 水力系统
背景情况:
- 非线性电动液压系统 (NEHS) 经常受到未建模的动力学,干扰和漏油等故障的影响.
- 实现精确的控制和在特定约束范围内保持系统状态是具有挑战性的.
研究的目的:
- 为NEHS.提出一个自适应输出反全状态约束 (FSC) 控制器.
- 为了解决未建模的动态,复合干扰和漏油故障.
- 确保系统状态保持在预定义的约束范围内,同时实现高跟踪精度.
主要方法:
- 使用带有辐射基函数神经网络 (RBFNNs) 的自适应神经干扰观察器 (ANDO) 来近似未知非线性.
- 采用障碍力普诺夫函数 (BLF) 来执行完全状态的约束.
- 开发一个基于观察者的输出反命令过方案来管理计算复杂性.
主要成果:
- 拟议的控制器有效地估计和补偿化合物干扰和油泄漏故障.
- 屏障Lyapunov函数确保所有系统状态都保持在指定的约束范围内.
- 命令波器方案减轻了复杂性的爆炸,从而实现了高精度的跟踪性能.
结论:
- 基于观察者的自适应神经干扰FSC控制器在控制未建模的动态和故障的NEHS方面表现出有效性.
- 模拟,实验和比较研究验证了拟议的控制策略的性能和稳定性.
相关概念视频
Feedback control systems
277
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
277
Control Systems
1.0K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
At the heart...
1.0K
Open and closed-loop control systems
631
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
631
Controller Configurations
85
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
85
Time-Domain Interpretation of PD Control
82
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
Consider the example of control of motor torque. Initially, a positive...
82
Linear Approximation in Time Domain
60
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
60


